Ambient assisted living for frail people through human activity recognition: state-of-the-art, challenges and future directions
Ambient Assisted Living is a concept that focuses on using technology to support and
enhance the quality of life and well-being of frail or elderly individuals in both indoor and …
enhance the quality of life and well-being of frail or elderly individuals in both indoor and …
A machine learning approach for analyzing and predicting suicidal thoughts and behaviors
F Faisal, MM Nishat, KR Raihan… - … on Ubiquitous and …, 2023 - ieeexplore.ieee.org
Suicide is a significant public health concern, and there is growing interest in using machine
learning techniques to identify people who are at a high risk of committing suicide. In this …
learning techniques to identify people who are at a high risk of committing suicide. In this …
Machine learning assisted decision support system for prediction of prostrate cancer
Over the past several years, there has been a global rise in the prevalence of prostate
cancer. It was discovered that prostate cancer is the most often diagnosed cancer category …
cancer. It was discovered that prostate cancer is the most often diagnosed cancer category …
Investigation on machine learning based approaches for estimating the critical temperature of superconductors
Superconductors have been among the most fascinating substances, as the fundamental
concept of superconductivity as well as the correlation of critical temperature and …
concept of superconductivity as well as the correlation of critical temperature and …
An efficient analysis of eeg signals to perform emotion analysis
The analysis of human emotional features is a significant hurdle to surmount on the path to
understanding the human mind. Human emotions are convoluted thus making its analysis …
understanding the human mind. Human emotions are convoluted thus making its analysis …
Detection of Skin Cancer: A Deep Learning Approach
A Shafiullah, F Faisal, SMR Arnab… - 2023 IEEE Smart …, 2023 - ieeexplore.ieee.org
Despite recent advances in medical imaging and machine learning, the detection of skin
cancer remains an enormous challenge. Traditional techniques like visual inspection and …
cancer remains an enormous challenge. Traditional techniques like visual inspection and …
Eeg-driven age prediction: Advancements in machine learning models
This research article proposes a novel method for predicting human age using EEG signals
and machine learning (ML) models. EEG signals provide valuable insights into brain activity …
and machine learning (ML) models. EEG signals provide valuable insights into brain activity …
Sensorimotor Activity Patterns using Machine Learning: Assessing the Impact of Auditory Timing Perception and Comparing Different Algorithms
Perception and action are the characteristics of the human condition and define our impact
on the world around us. The brain's ability to effectively sort and incorporate these signals for …
on the world around us. The brain's ability to effectively sort and incorporate these signals for …
A Machine Learning Based Investigative Analysis for Predicting the Critical Temperature of Superconductors
INTRODUCTION: Ever since the initial discovery of superconductivity, the fundamental
concept and the complex relationship between critical temperature and superconductive …
concept and the complex relationship between critical temperature and superconductive …
Modeling and Simulation of Sustainable Solar PV: A Ubiquitous Computing Approach
Integrating solar photovoltaic panels with existing structures can emerge as a viable solution
to the current energy crisis and reduction of carbon footprint. The goal of this research is to …
to the current energy crisis and reduction of carbon footprint. The goal of this research is to …